Rather than prescribing an evaluation interval a priori, the proposed framework characterizes each evolving unsteady flow using a sequence of time windows. A consecutive-window convergence criterion is introduced to automatically identify a representative time window within its fully developed stage. The objective evaluation and discrete adjoint analysis are then carried out consistently over the identified representative time window. The framework is implemented using a regularized lattice Boltzmann method-based large-eddy simulation (LBM-LES) solver together with a partial bounce-back fluid-solid model. The consecutive-window convergence criterion is first validated using the backward-facing step flow. Cylinder-flow applications are then employed to investigate the influence of different flow regimes on the proposed framework. The wake-flow recovery problem verifies its effectiveness for unsteady topology optimization, while U-bend optimization further demonstrates its capability to identify and reorganize complex vortical structures.
In recent years, the discrete unified gas kinetic scheme (DUGKS) has attracted considerable attention and demonstrated remarkable potential in the simulation of a wide range of challenging multi-scale flow problems. Nevertheless, the majority of existing studies remain confined to uniform rectangular grids. Although ce...
Ting-Ting Tang, Shi Tao, Zhi-Yong Li et al.· The Physics of Fluids· 0 citations
Reduced order modeling provides an efficient alternative to high fidelity simulations for the rapid prediction of fluid flows in many query settings. Among non intrusive approaches, Operator Inference (OpInf) enables the identification of reduced dynamical operators directly from data while preserving a prescribed math...
Dynamic-mesh simulations generate unsteady flow snapshots whose sampling points vary with time, complicating reduced-order modeling because snapshot entries no longer represent the same spatial degrees of freedom. This study develops a spatially consistent and phase-aware POD–RBF reduced-order modeling workflow for fas...
Long-Feng Hou, Yi-Hao Tao, Wei-Jing Zou et al.· Fluids· 0 citations
(English) The computational cost of scale-resolving simulations of incompressible flows, such as Direct Numerical Simulation (DNS) and Large-Eddy Simulation (LES), is largely dictated by the temporal integration of the incompressible Navier-Stokes equations. Traditional timestepping strategies often rely on conservativ...
This document presents the theory, implementation, and verification of Motif, a two-dimensional incompressible flow solver developed as a teaching and research framework. The governing equations are discretized using the finite-volume method on staggered Cartesian grids. Convection is treated explicitly using the secon...
The adoption of advanced three-dimensional Computational Fluid Dynamics (CFD) tools for the research and design of Rolling-Piston Compressors (RPCs) is severely constrained by the absence of efficient and reliable grid generation methods. To address this issue, this paper proposes a novel analytical grid generation met...
Jun-Peng Wang, Chuang Liang, Lu Li et al.· Machines· 0 citations
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